Giuseppe Cavaliere Profile picture
Jun 8 โ€ข 9 tweets โ€ข 4 min read Twitter logo Read on Twitter
Hi #EconTwitter!

Yearning for a deep dive into the world of ๐ญ๐ข๐ฆ๐ž ๐ฌ๐ž๐ซ๐ข๐ž๐ฌ ๐ž๐œ๐จ๐ง๐จ๐ฆ๐ž๐ญ๐ซ๐ข๐œ๐ฌ? ๐Ÿ“ˆ

Behold a compilation (from my recent tweets) of very nice lecture notes and books, freely available online, just a click away.

Hope you'll like it! ๐ŸŒ ImageImage
Alex Aue's Time Series Analysis

Friendly introduction to Time Series Analysis, covering key principles (including spectral methods) and examples in R

batch.libretexts.org/print/Letter/Fโ€ฆ
@BruceEHansen's Advanced Time Series and Forecasting

Set of slides on time series econometrics and forecasting, covering most aspects on this topic.

ssc.wisc.edu/~bhansen/crete/
@FrancisDiebold's Time-Series Econometrics: a concise course

A modern and concise master's or PhD-level book in econometric time series

sas.upenn.edu/~fdiebold/Teacโ€ฆ
@JohnHCochrane's Time Series for Macroeconomics and Finance

Evergreen notes introducing time series econometrics to economists.

johnhcochrane.com/s/time_series_โ€ฆ
@FrancisDiebold's Forecasting in Economics, Business, Finance and Beyond

A textbook on forecasting, mainly in a time series setting.

sas.upenn.edu/~fdiebold/Teacโ€ฆ
Suhasini Subba Rao's Introduction to Time Series Analysis

A book covering modeling, prediction, nonlinear, frequency domain & coding in R.

web.stat.tamu.edu/~suhasini/teacโ€ฆ
@jimstockmetrics & Mark Watson's Time Series Econometrics

Slides covering time series, IV, dynamic factor models, HAC inference and more

aeaweb.org/content/file?iโ€ฆ
Peter Phillips' Lectures on Unit roots, Cointegration and Nonstationarity

Hand-written notes on theoretical time series econometrics, covering the classics (FCLTs, stoch. calculus, unit roots, etc.

korora.econ.yale.edu/phillips/teachโ€ฆ

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More from @CavaliereGiu

Jun 7
Hi #EconTwitter!

Interested in the #econometrics of ๐œ๐š๐ฎ๐ฌ๐š๐ฅ ๐ข๐ง๐Ÿ๐ž๐ซ๐ž๐ง๐œ๐ž? ๐Ÿ“ˆ

Here's a thread with some great lecture notes, slides, and books on this topic - freely available on the web - which I've happily tweeted about! ๐Ÿ“š๐ŸŒ

Hope you'll find it useful! ImageImage
๐๐š๐ฎ๐ฅ ๐†๐จ๐ฅ๐๐ฌ๐ฆ๐ข๐ญ๐ก-๐๐ข๐ง๐ค๐ก๐š๐ฆ'๐ฌ (@paulgp) ๐€๐ฉ๐ฉ๐ฅ๐ข๐ž๐ ๐„๐ฆ๐ฉ๐ข๐ซ๐ข๐œ๐š๐ฅ ๐Œ๐ž๐ญ๐ก๐จ๐๐ฌ

PhD-level slides covering econometrics, ย from causal inference to applied MachineLearning.

github.com/paulgp/appliedโ€ฆ
๐๐ž๐ง๐  ๐ƒ๐ข๐ง๐ '๐ฌ (@pengding00) ๐‚๐š๐ฎ๐ฌ๐š๐ฅ ๐ข๐ง๐Ÿ๐ž๐ซ๐ž๐ง๐œ๐ž

Undergrad notes about the #statistics and #econometrics of causal inference.

arxiv.org/abs/2305.18793
Read 11 tweets

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